EP 3291030 A1 20180307 - OPTIMIZING OPERATION OF HOT WATER SYSTEMS
Title (en)
OPTIMIZING OPERATION OF HOT WATER SYSTEMS
Title (de)
EINSATZOPTIMIERUNG VON HEISSWASSERSYSTEMEN
Title (fr)
OPTIMISATION DE FONCTIONNEMENT DE SYSTÈMES D'EAU CHAUDE
Publication
Application
Priority
EP 16186776 A 20160901
Abstract (en)
Method for optimizing operation of at least one of multiple hot water systems (2) in multiple buildings (1), the method comprising: - collecting sensor data (12a,12b,12c) from said multiple hot water systems (2) in said multiple buildings (1) via a communication network, wherein the collected sensor data (12a,12b,12c) comprises multiple sets of at least a hot water system data record and a corresponding hot water system type; - estimating a behavior for each of the hot water system types of the multiple hot water systems based on the collected sensor data (12a,12b,12c); - optimizing operation of at least one of the hot water systems (2) based on the estimated behavior of the corresponding type of hot water system.
IPC 8 full level
G05B 13/04 (2006.01)
CPC (source: EP)
G05B 13/0265 (2013.01); G05B 15/02 (2013.01); G05B 2219/2642 (2013.01)
Citation (applicant)
- US 2016010878 A1 20160114 - LEE HOHYUN [US], et al
- COULSTON ET AL.: "Approximating Prediction Uncertainty for Random Forest Regression Models", PHOTOGRAMMATIC ENGINEERING AND REMOTE SENSING, vol. 82, no. 3, March 2016 (2016-03-01), pages 189 - 197
- C. E. RASMUSSEN; C. K. I. WILLIAMS: "Gaussian Processes for Machine Learning", 2006, MIT PRESS
- G. PAPADOPOULOS ET AL.: "Confidence Estimation Methods for Neural Networks: A Practical Comparison", ESANN'2000 PROCEEDINGS, 2000, pages 75 - 80
Citation (search report)
- [X] US 2016216007 A1 20160728 - HARBIN III BENJAMIN F [US], et al
- [I] US 2012232701 A1 20120913 - CARTY RAPHAEL [US], et al
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
EP 3291030 A1 20180307; BE 1025140 A1 20181112; BE 1025140 B1 20181120
DOCDB simple family (application)
EP 16186776 A 20160901; BE 201705596 A 20170829